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T1  - Data integration to prioritize drugs using genomics and curated data 
SN  -  /  
UR  - http://hdl.handle.net/10138/164628 
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A1  - Louhimo, Riku i; Laakso, Marko; Belitskin, Denis; Klefstrom, Juha; Lehtonen, Rainer; Hautaniemi, Sampsa 
A2  -  
PB  -  
Y1  - 2016 
LA  - eng 
AB  - Background: Genomic alterations affecting drug target proteins occur in several tumor types and are prime candidates for patient-specific tailored treatments. Increasingly, patients likely to benefit from targeted cancer therapy are selected based on molecular alterations. The selection of a precision therapy benefiting most patients is challenging but can be enhanced with integration of multiple types of molecular data. Data integration approaches for drug prioritization have successfully integ... 
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KW  - Data integration; Drug prioritization; Gene ontology; Cancer; Breast cancer; GENE-EXPRESSION PATTERNS; BREAST-CANCER CELLS; COPY-NUMBER; KINASE INHIBITORS; CLINICAL-PRACTICE; THERAPY; MEDICINE; PATHWAY; TRASTUZUMAB; RESISTANCE; 3111 Biomedicine 
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ER  -